Aurélien Dugourd

4.9k total citations · 2 hit papers
26 papers, 1.4k citations indexed

About

Aurélien Dugourd is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Aurélien Dugourd has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Hematology. Recurrent topics in Aurélien Dugourd's work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Aurélien Dugourd is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Aurélien Dugourd collaborates with scholars based in Germany, United Kingdom and Netherlands. Aurélien Dugourd's co-authors include Julio Sáez-Rodríguez, Daniel Dimitrov, Ricardo O. Ramirez Flores, Pau Badia-i-Mompel, Sophia Müller‐Dott, Jana M. Braunger, Christian H. Holland, Petr Tauš, Celina Geiß and Christian Frezza and has published in prestigious journals such as Cell, Nature Communications and Molecular Cell.

In The Last Decade

Aurélien Dugourd

23 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

decoupleR: ensemble of computational methods to infer biological activities from omics data

2022 302 citations Pau Badia-i-Mompel, Jana M. Braunger et al. Bioinformatics Advances profile →
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

2022 237 citations Daniel Dimitrov, Dénes Türei et al. Nature Communications profile →

Peers

Aurélien Dugourd

IMMUN

ONCOL

GENET

Huilei Xu United States

Sung Choe United States

Xiangdong Xu United States

Dorina Gui United States

Yaomin Xu United States

Isabelle Corre France

Deepak Nihalani United States

Ya‐Sian Chang Taiwan

Jean‐Philip Truman United States

Michelle L. Matter United States

Huilei Xu United States

Aurélien Dugourd

1.3k ×1.4

197 ×0.9

IMMUN

331 ×1.6

146 ×0.9

ONCOL

162 ×1.1

GENET

Citations per year, relative to Aurélien Dugourd Aurélien Dugourd (= 1×) peers Huilei Xu

Countries citing papers authored by Aurélien Dugourd

Since Specialization

Citations

This map shows the geographic impact of Aurélien Dugourd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aurélien Dugourd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Dugourd more than expected).

Fields of papers citing papers by Aurélien Dugourd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélien Dugourd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aurélien Dugourd. The network helps show where Aurélien Dugourd may publish in the future.

Co-authorship network of co-authors of Aurélien Dugourd

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Dugourd. A scholar is included among the top collaborators of Aurélien Dugourd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aurélien Dugourd. Aurélien Dugourd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gleitz, Hélène F.E., Inge Snoeren, Charlotte Boys, et al.. (2025). Inhibiting the alarmin‐driven hematopoiesis‐stromal cell crosstalk in primary myelofibrosis ameliorates bone marrow fibrosis. HemaSphere. 9(8). e70179–e70179.

Müller‐Dott, Sophia, Eric J. Jaehnig, Wen Jiang, et al.. (2025). Comprehensive evaluation of phosphoproteomic-based kinase activity inference. Nature Communications. 16(1). 4771–4771.

Dimitrov, Daniel, Christina Schmidt, Dénes Türei, et al.. (2024). MetalinksDB: a flexible and contextualizable resource of metabolite-protein interactions. Briefings in Bioinformatics. 25(4). 5 indexed citations

Dimitrov, Daniel, Philipp Schäfer, Pablo Rodríguez-Mier, et al.. (2024). LIANA+ provides an all-in-one framework for cell–cell communication inference. Nature Cell Biology. 26(9). 1613–1622. 48 indexed citations

Erickson, Emily C., Inchul You, Aurélien Dugourd, et al.. (2024). Multiomic profiling of breast cancer cells uncovers stress MAPK-associated sensitivity to AKT degradation. Science Signaling. 17(825). eadf2670–eadf2670. 7 indexed citations

Snoeren, Inge, Eric M. Bindels, Stephani Schmitz, et al.. (2023). Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation. Blood Advances. 8(3). 766–779.

Gleitz, Hélène F.E., Inge Snoeren, James S. Nagai, et al.. (2023). S205: INHIBITING THE ALARMIN-DRIVEN HEMATOPOIESIS-STROMAL CELLS CROSSTALK IN PRIMARY MYELOFIBROSIS AMELIORATES BONE MARROW FIBROSIS. HemaSphere. 7(S3). e36177f7–e36177f7. 2 indexed citations

Ramakrishnan, Suresh Krishna, Jiayi Li, Aurélien Dugourd, et al.. (2022). Reducing lipid bilayer stress by monounsaturated fatty acids protects renal proximal tubules in diabetes. eLife. 11. 27 indexed citations

Dimitrov, Daniel, Dénes Türei, Martín Garrido‐Rodríguez, et al.. (2022). Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. Nature Communications. 13(1). 3224–3224. 237 indexed citations breakdown →

10.

Gegner, Hagen M., Thomas Naake, Aurélien Dugourd, et al.. (2022). Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis. Frontiers in Molecular Biosciences. 9. 961448–961448. 18 indexed citations

11.

Badia-i-Mompel, Pau, Jana M. Braunger, Celina Geiß, et al.. (2022). decoupleR: ensemble of computational methods to infer biological activities from omics data. Bioinformatics Advances. 2(1). vbac016–vbac016. 302 indexed citations breakdown →

12.

Giansanti, Piero, Enio Gjerga, Aurélien Dugourd, et al.. (2021). Systems approach reveals distinct and shared signaling networks of the four PGE ₂ receptors in T cells. Science Signaling. 14(703). eabc8579–eabc8579. 6 indexed citations

13.

Dugourd, Aurélien, Christoph Kuppe, Marco Sciacovelli, et al.. (2021). Causal integration of multi‐omics data with prior knowledge to generate mechanistic hypotheses. Molecular Systems Biology. 17(1). e9730–e9730. 90 indexed citations

14.

Petkevicius, Kasparas, Guillaume Bidault, Sam Virtue, et al.. (2021). Macrophage beta2-adrenergic receptor is dispensable for the adipose tissue inflammation and function. Molecular Metabolism. 48. 101220–101220. 16 indexed citations

15.

Gjerga, Enio, Panuwat Trairatphisan, Attila Gábor, et al.. (2020). Converting networks to predictive logic models from perturbation signalling data with CellNOpt. Bioinformatics. 36(16). 4523–4524. 22 indexed citations

16.

Cappelletti, Valentina, Thomas Häuser, Ilaria Piazza, et al.. (2020). Dynamic 3D proteomes reveal protein functional alterations at high resolution in situ. Cell. 184(2). 545–559.e22. 104 indexed citations

17.

Berndt, Nikolaus, Guido Mastrobuoni, Olga Vvedenskaya, et al.. (2019). Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer. British Journal of Cancer. 122(2). 233–244. 14 indexed citations

18.

Dugourd, Aurélien & Julio Sáez-Rodríguez. (2019). Footprint-based functional analysis of multiomic data. Current Opinion in Systems Biology. 15. 82–90. 30 indexed citations

19.

Gaude, Edoardo, Christina Schmidt, Payam A. Gammage, et al.. (2018). NADH Shuttling Couples Cytosolic Reductive Carboxylation of Glutamine with Glycolysis in Cells with Mitochondrial Dysfunction. Molecular Cell. 69(4). 581–593.e7. 171 indexed citations

20.

Schneider, Rebekka K., Ann Mullally, Aurélien Dugourd, et al.. (2017). Gli1+ Mesenchymal Stromal Cells Are a Key Driver of Bone Marrow Fibrosis and an Important Cellular Therapeutic Target. Cell stem cell. 20(6). 785–800.e8. 200 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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